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research article

Semantic Resources for Managing Knowledge in Battery Research

Clark, Simon
•
Battaglia, Corsin  
•
Castelli, Ivano E.
Show more
2025
ChemSusChem

Semantic technology is revolutionizing how the battery research community collaborates. It is becoming even more important as artificial intelligence agents emerge in the field. This article explores the role of semantic resources in advancing battery research by enabling the formalization of knowledge in a way that can be understood by both people and computers. Domain-specific ontologies provide definitive frameworks for structuring knowledge, while open-source software packages enable the creation, validation, manipulation, and sharing of data. To link ontologies with other resources, articles, and multimedia content, a new web-based platform called the Battery Knowledge Base, which provides a centralized hub to enhance knowledge sharing and collaboration, is introduced. In this article, how these semantic tools address critical challenges in knowledge and data management, driving progress in the field, are highlighted.

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Type
research article
DOI
10.1002/cssc.202500458
Scopus ID

2-s2.0-105010679499

PubMed ID

40663482

Author(s)
Clark, Simon

SINTEF Foundation for Scientific and Industrial Research

Battaglia, Corsin  

École Polytechnique Fédérale de Lausanne

Castelli, Ivano E.

Technical University of Denmark

Flores, Eibar

SINTEF Foundation for Scientific and Industrial Research

Gold, Lukas

Fraunhofer Institute for Silicate Research ISC

Punckt, Christian

Helmholtz-Institut Ulm

Stier, Simon

Fraunhofer Institute for Silicate Research ISC

Veit, Philipp

Helmholtz-Institut Ulm

Date Issued

2025

Published in
ChemSusChem
Article Number

2500458

Subjects

batteries

•

knowledge bases

•

linked data

•

ontology

•

semantic technologies

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SMX-ENS  
FunderFunding(s)Grant NumberGrant URL

European Union's Horizon Europe research and innovation programme

101104022

DFG

390874152

Available on Infoscience
July 25, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/252542
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